This paper seeks to explore the reasons for the low impact of nosocomial infection in the mainstream media and the responsibilities of physicians and journalists in terms of this situation. To this end, a small group of 13 experts met for round-table discussions, including physicians with expertise in nosocomial infection, medical lawsuits and ethics, as well as journalists from major mainstream Spanish media outlets. The various participants were asked a series of questions prior to the meeting, which were answered in writing by one of the speakers and discussed during the meeting by the whole group, the aim being to obtain consensual conclusions for each of them. The document was subsequently reviewed, edited and forwarded to all co-authors for their agreement. The opinions expressed are the personal opinions of the participants and not necessarily those of the institutions in which they work or with which they collaborate.
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Proc Natl Acad Sci U S A
January 2025
Department of Statistics and Data Science, College of Science, Southern University of Science and Technology, Shenzhen 518055, China.
Social media is profoundly changing our society with its unprecedented spreading power. Due to the complexity of human behaviors and the diversity of massive messages, the information-spreading dynamics are complicated, and the reported mechanisms are different and even controversial. Based on data from mainstream social media platforms, including WeChat, Weibo, and Twitter, cumulatively encompassing a total of 7.
View Article and Find Full Text PDFJ Physiol Sci
January 2025
Cardiovascular Research Institute, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan. Electronic address:
Background: The increasing prevalence of heated tobacco products (HTPs) has heightened concerns regarding their potential health risks. Previous studies have demonstrated the toxicity of cigarette smoke extract (CSE) from traditional tobacco's mainstream smoke, even after the removal of nicotine and tar. Our study aimed to investigate the cytotoxicity of CSE derived from HTPs and traditional tobacco, with a particular focus on the role of reactive oxygen species (ROS) and intracellular Ca.
View Article and Find Full Text PDFConfl Health
January 2025
Department of Community Health and Behavioural Science, School of Public Health, College of Health Sciences, Makerere University, Mulago Hill Road, P.O. Box 7072, Kampala, Uganda.
Background: Uganda has been confronted with a sustained influx of refugees for decades. This prompted the government to explore opportunities to integrate refugees into local service structures including its national health system. This paper chronicles the history of policies and strategies that have influenced the integration of refugees into the national health system in Uganda and investigates factors that impacted policy evolution and progression.
View Article and Find Full Text PDFPLoS One
January 2025
Centro Ricerche Enrico Fermi, Rome, Italy.
The Covid-19 pandemic has sparked renewed attention to the risks of online misinformation, emphasizing its impact on individuals' quality of life through the spread of health-related myths and misconceptions. In this study, we analyze 6 years (2016-2021) of Italian vaccine debate across diverse social media platforms (Facebook, Instagram, Twitter, YouTube), encompassing all major news sources-both questionable and reliable. We first use the symbolic transfer entropy analysis of news production time-series to dynamically determine which category of sources, questionable or reliable, causally drives the agenda on vaccines.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China.
With the rapid development of blockchain technology, fraudulent activities have significantly increased, posing a major threat to the personal assets of blockchain users. The blockchain transaction network formed during user transactions can be represented as a graph consisting of nodes and edges, making it suitable for a graph data structure. Fraudulent nodes in the transaction network are referred to as anomalous nodes.
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